课程信息
4.7
84 ratings
23 reviews
A practical and example filled tour of simple and multiple regression techniques (linear, logistic, and Cox PH) for estimation, adjustment and prediction....
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建议:8 weeks of study, 2-3 hours/week

完成时间大约为22 小时
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字幕:English

您将获得的技能

Regression AnalysisPropensity Score MatchingProportional Hazards ModelInteraction (Statistics)
Globe

100% 在线课程

立即开始,按照自己的计划学习。
Calendar

可灵活调整截止日期

根据您的日程表重置截止日期。
Clock

建议:8 weeks of study, 2-3 hours/week

完成时间大约为22 小时
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English

字幕:English

教学大纲 - 您将从这门课程中学到什么

1

章节
Clock
完成时间为 4 小时

Introduction and Module 1A: Simple Regression Methods

In this module, a unified structure for simple regression models will be presented, followed by detailed treatises and examples of both simple linear and logistic models....
Reading
11 个视频(共 203 分钟), 3 个阅读材料
Video11 个视频
Lecture 1a: Simple Regression: An Overview17分钟
Lecture 1b: Simple Linear Regression with a Binary (or Nominal Categorical) Predictor 21分钟
Lecture 1c: Simple Linear Regression with a Continuous Predictor 30分钟
Lecture 1d: Simple Linear Regression Model: Estimating the Regression Equation—Accounting for Uncertainty in the Estimates 22分钟
Lecture 1e: Measuring the Strength of a Linear Association 25分钟
Lecture 2 Introduction: Simple Logistic Regression1分钟
Lecture 2a: Simple Logistic Regression with a Binary (or Categorical) Predictor 24分钟
Lecture 2b: Simple Logistic Regression with a Continuous Predictor 24分钟
Lecture 2c: Simple Logistic Regression: Accounting for Uncertainty in the Estimates 19分钟
Lecture 2d: Estimating Risk and Functions of Risk from Logistic Regression Results 14分钟
Reading3 个阅读材料
Syllabus10分钟
Learning Objectives, Lecture 110分钟
Learning Objectives, Lecture 210分钟

2

章节
Clock
完成时间为 4 小时

Module 1B: More Simple Regression Methods

In this model, more detail is given regarding Cox regression, and it's similarities and differences from the other two regression models from module 1A. The basic structure of the model is detailed, as well as its assumptions, and multiple examples are presented....
Reading
5 个视频(共 74 分钟), 3 个阅读材料, 8 个测验
Video5 个视频
Lecture 3a: Simple Cox Regression: The Concept of Proportional Hazards 19分钟
Lecture 3b: Simple Cox Regression with Binary or Categorical Predictors 11分钟
Lecture 3d: Accounting for Uncertainty in Slope Estimate and Translating Cox Regression Results to Predicted Survival Curves 19分钟
Lecture 3c: Simple Cox Regression with a Continuous Predictor 21分钟
Reading3 个阅读材料
Learning Objectives, Lecture 310分钟
Supporting Information for Homework 110分钟
Quiz 1 Solutions10分钟
Quiz8 个练习
Homework 1A16分钟
Homework 1B22分钟
Homework 1C10分钟
Homework 1D10分钟
Homework 1E10分钟
Homework 1F10分钟
Homework 1G14分钟
Module 1 Quiz: Covers Lectures 1-324分钟

3

章节
Clock
完成时间为 1 小时

Module 2A: Confounding and Effect Modification (Interaction)

This module, along with module 2B introduces two key concepts in statistics/epidemiology, confounding and effect modification. A relation between an outcome and exposure of interested can be confounded if a another variable (or variables) is associated with both the outcome and the exposure. In such cases the crude outcome/exposure associate may over or under-estimate the association of interest. Confounding is an ever-present threat in non-randomized studies, but results of interest can be adjusted for potential confounders. ...
Reading
4 个视频(共 54 分钟), 1 个阅读材料
Video4 个视频
Lecture 4a: Confounding: A Formal Definition and Some Examples 24分钟
Lecture 4b: Adjusted Estimates: Presentation, Interpretation, and Utility for Assessing Confounding 17分钟
Lecture 4c: Adjusted Estimates: The General Idea Behind the Computations 10分钟
Reading1 个阅读材料
Learning Objectives, Lecture 410分钟

4

章节
Clock
完成时间为 3 小时

Module 2B: Effect Modification (Interaction

Effect modification (Interaction), unlike confounding, is a phenomenon of "nature" and cannot be controlled by study design choice. However, it can be investigated in a manner similar to that of confounding. This set of lectures will define and give examples of effect modification, and compare and contrast it with confounding....
Reading
4 个视频(共 65 分钟), 3 个阅读材料, 5 个测验
Video4 个视频
Lecture 5a: Effect Modification: Introduction with Some Examples 28分钟
Lecture 5b: Effect Modification: More Examples of Investigating Effect Modification 19分钟
Lecture 5c: Confounding versus Effect Modification: A Review 15分钟
Reading3 个阅读材料
Learning Objectives, Lecture 510分钟
Supporting Information for Homework 210分钟
Quiz 2 Solutions10分钟
Quiz5 个练习
Homework 2A22分钟
Homework 2B6分钟
Homework 2C4分钟
Homework 2D8分钟
Module 2 Quiz: Covers Lectures 1-524分钟
4.7
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热门审阅

创建者 MJJun 8th 2017

Very well taught course. I learned valuable skills, and got a better understanding of how to interpret results, published in the literature.

创建者 XPJan 8th 2017

Great course to improve your skills related to statistical data analysis focused on health domain

讲师

John McGready, PhD, MS

Associate Scientist, Biostatistics
Bloomberg School of Public Health

关于 Johns Hopkins University

The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world....

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